| Description |
xviii, 179 pages : illustrations ; 24 cm |
| Summary |
"This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different network environments. Investigating one-shot learning and in-network processing as complementary mechanisms for efficient and accurate distributed pattern analyses, it presents the technical aspects related to the development of scalable pattern recognition using a number of contemporary application development tools. It also considers scalability of pattern recognition schemes when dealing with such data"-- Provided by publisher |
| Bibliography |
Includes bibliographical references (pages 167-175) and index |
| Subject |
Data mining.
|
|
Pattern recognition systems.
|
|
Web usage mining.
|
|
Mathematical statistics -- Data processing.
|
| Author |
Khan, Asad.
|
|
Nasution, Benny.
|
| LC no. |
2012031622 |
| ISBN |
9781466510968 (hardback) |
|
146651096X (hardback) |
|
